Sayed M. Himatt
Impact in
- Hepatology top 0.5%
- Hepatitis C virus research
- Liver Disease and Transplantation
- Hepatitis Viruses Studies and Epidemiology
- Epidemiology top 2%
- Hepatitis B Virus Studies
- Liver Disease Diagnosis and Treatment
- HIV, Drug Use, Sexual Risk
Papers in
-
- Hepatitis C virus research 8
- Epidemiology 11
- Hepatitis B Virus Studies 7
- Liver Disease Diagnosis and Treatment 6
- Data-Driven Disease Surveillance 3
- Co-authors
- Osama M. E. Seidahmed (2 shared papers)Mark Edward Beatty (2 shared papers)Khalifa Elmusharaf (2 shared papers)Hamad Eid Al‐Romaihi (8 shared papers)Mohammed Al‐Thani (5 shared papers)Elmoubasher Farag (5 shared papers)Mutasim M. Elmangory (1 shared paper)Chantal B. E. M. Reusken (1 shared paper)
In The Last Decade
Sayed M. Himatt
19 papers receiving 2.3k citations
Sayed M. Himatt's Hit Papers
Peers
Comparison fields: 5 of 91
- Hepatology 1.8k
- Epidemiology 1.1k
- Infectious Diseases 188
- Virology 26
- Modeling and Simulation 17
Countries citing papers authored by Sayed M. Himatt
This map shows the geographic impact of Sayed M. Himatt's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sayed M. Himatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayed M. Himatt more than expected).
Fields of papers citing papers by Sayed M. Himatt
This network shows the impact of papers produced by Sayed M. Himatt. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sayed M. Himatt. The network helps show where Sayed M. Himatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Sayed M. Himatt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Global prevalence and genotype distribution of hepatitis C virus infection in 2015: a modelling study Hit paper breakdown → | 2016 | 1652 |
| 2 | Global change in hepatitis C virus prevalence and cascade of care between 2015 and 2020: a modelling study Hit paper breakdown → | 2022 | 479 |
| 3 | 2015 | 41 | |
| 4 | 2017 | 34 | |
| 5 | 2017 | 32 | |
| 6 | 2020 | 30 | |
| 7 | 2017 | 26 | |
| 8 | 2015 | 25 | |
| 9 | 2017 | 20 | |
| 10 | 2019 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 2 | |
| 17 | 2016 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Sayed M. Himatt
Sayed M. Himatt is a scholar working on Hepatology, Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health and Health, having authored 20 papers that have together received 2.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Hepatitis B Virus Studies (7 papers), Liver Disease Diagnosis and Treatment (6 papers), Data-Driven Disease Surveillance (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Hepatology (1.8k citations), Epidemiology (1.1k citations), Infectious Diseases (188 citations), Virology (26 citations) and Modeling and Simulation (17 citations). Sayed M. Himatt has collaborated with scholars based in Qatar, Egypt and Australia. Frequent co-authors include Osama M. E. Seidahmed, Mark Edward Beatty, Khalifa Elmusharaf, Hamad Eid Al‐Romaihi, Mohammed Al‐Thani, Elmoubasher Farag, Mutasim M. Elmangory, Chantal B. E. M. Reusken, Adel Gohar and Marion Koopmans. Their work appears in journals such as Journal of Viral Hepatitis, Journal of Infection and Public Health, Epidemiology and Infection, BMC Public Health and The Lancet. Gastroenterology & hepatology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.